Microcredit Impacts: Evidence from a Randomized Microcredit Program Placement Experiment by Compartamos Banco
By M. Angelucci, Dean S. Karlan, Jonathan Zinman. 2014
505 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Information Systems, Safety Research
View Paper: https://www.semanticscholar.org/paper/4e2f94a577c187c0dd871d27d71e877cde82e78b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Asli Demirgüç-Kunt
- Robert J. Cull
- Abhijit Banerjee
- J. Morduch
- Thorsten Beck
- Francisco J. Buera
- L. Klapper
- Esther Duflo
In Management Information Systems
- Robert J. Cull
- J. Morduch
- Asli Demirgüç-Kunt
- Robert Lensink
- Eustadius Francis Magezi
- Y. Nakano
- Rachael Meager
- Tamara Broderick
In Safety Research
- J. Morduch
- Esther Duflo
- Abhijit Banerjee
- Vanesa Pesqué-Cela
- Melanie Morten
- Cynthia Kinnan
- Dina Pomeranz
- Felipe Kast
Citations in the corpus
- Fintech, financial inclusion and income inequality: a quantile regression approach (2020, background): “…Ethiopia, and Morocco, found no robust evidence of a positive impact of household participation in microcredit programmes on household income (Angelucci, Karlan, and Zinman 2015; Attana-sio et al. 2015; Augsburg et al. 2015; Crépon et al. 2015; Tarozzi, Desai, and Johnson 2015; Banerjee et…”
- Entrepreneurship and Financial Frictions: A Macrodevelopment Perspective (2015, background): “, 2013), Mexico (Angelucci et al., 2015), Mongolia (Attanasio et al., 2015), Morocco (Crepon et al., 2015), the Philippines (Karlan and Zinman, 2010), and Thailand (Kaboski and Townsend, 2011, 2012). It has been difficult to generalize findings, but a few key messages emerge.(16) First, take-up rate”
- Saving for a (not so) Rainy Day: A Randomized Evaluation of Savings Groups in Mali (WP-14-15) (2014, unknown): “Discussion Papers Economic Growth Center 10-1-2014”
- The Microfinance Business Model: Enduring Subsidy and Modest Profit (2016, methodology): “…Joint Bank-Fund library user on 12 July 2018 scale, consumption choice, female decision power, and improved risk management” (Banerjee, Karlan, and Zinman 2015, 14).2 While perhaps disappointing to microfinance advocates, these modest impacts could nonetheless feed into sizable benefit-cost…”
- Can Microfinance Unlock a Poverty Trap for Some Entrepreneurs? (2019, background): “This paper builds on a large body of evidence studying the returns to microfinance (Attanasio et al. (2015); Augsburg et al.”
- Understanding the Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of 7 Randomised Experiments (2015, unknown): “In this paper I aggregate and synthesise the results from all existing RCTs of expanding access to microcredit: Angelucci et al (2015), Attanasio et al (2015), Augsberg et al (2015), Banerjee et al (2015b), Crepon et al (2015), Karlan and Zinman (2011), and Tarozzi et al (2015).”
- Early Life Circumstance and Adult Mental Health (2019, background): “5 Barker’s original contributions (1990) related to long-term impacts on heart disease, and the subsequent literature in economics and other disciplines is nicely reviewed in Almond and Currie (2011) and Currie and Vogl (2013).”
- Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments (2017, unknown): “Despite evidence that access to microfinance leads to an increase in borrowing ([4], [10], [48]) and business creation or expansion ([4], [7], [10], [48]), most studies have found that this does not translate into an increase in economic outcomes such as profit, income, labor supply and consumption ”
- Financial Inclusion and Inclusive Growth: A Review of Recent Empirical Evidence (2017, background): “And in Mexico, a study estimates that the government’s shift to digital payments (which began in 1997) trimmed its spending on wages, pensions, and social welfare by 3.3 percent annually, or nearly $1.3 billion (Babatz, 2013).”
- An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference? (2020, methodology): “The selected studies are: Angelucci et al. (2015), Attanasio et al. (2015), Augsburg et al. (2015), Banerjee et al. (2015), Crépon et al.”
- Financial Literacy and Financial Behaviour: Experimental Evidence from Rural Rwanda (2016, background): “Angelucci et al. (2014) provide evidence that microcredit has positive effects on qualitative well-being and women’s bargaining power but also document it does not improve wealth, expenditures, or profits, on average.”
- Temporary Migration and Endogenous Risk Sharing in Village India (2019, background): “Counter33For example, micro finance APRs are 100% in Mexico Angelucci et al. (2015), 60% in the Philippines Karlan and Zinman (2011), 30% in India Banerjee et al. (2015).”
- Measuring the Equilibrium Impacts of Credit: Evidence from the Indian Microfinance Crisis (2018, result): “Angelucci et al. (2015), Augsburg et al. (2015), Attanasio et al. (2015), Banerjee et al. (2015b), Crépon et al. (2015), and Tarozzi et al. (2015))? These studies paint a consistent picture of modest impacts on both business and household outcomes, while our findings of significant negative impacts ”
- The impact of microcredit on agricultural technology adoption and productivity: Evidence from randomized control trial in Tanzania (2020, background): “This paper contributes to the literature by conducting RCT to examine the impact of microcredit on the technology adoption and productivity of rice cultivation in Tanzania.”